Control Systems Engineer

Ready to change the world?

We are reinventing how products are delivered around the world by unlocking the path not yet traveled. Our company was founded in 2015 and is backed by Silicon Valley’s most prominent VCs, including YCombinator, Lightspeed, and Icon Ventures. Volansi provides fast on-demand aerial delivery service for time-critical shipments over long ranges. We build and operate long-range, high-payload drones for commercial, defense, and humanitarian applications. Leveraging drone technology as a transportation method, we help our customers gain control of their supply chain and save millions of dollars on downtime and inventory costs.

Our work came from the immediate need for critical delivery of parts to drastically reduce downtime for an automotive company. From this idea, our founders have scaled the company into a team of highly skilled and motivated individuals to serve critical delivery markets.

Interested?

We are looking for Control Systems Engineer candidates who are self-motivated individuals with a burning desire to constantly push the known boundaries of technology to create the next generation of delivery platforms. This position will design, implement, and test flight controls for vertical-take-off-and-landing fixed-wing aircraft with a highly-motivated, results-driven international team.

What you will do:

• Develop flight simulations and inform flight testing plans based on simulation results
• Post flight data review
• Implementation of new software or algorithms to support mission-specific capabilities
• Integration of sensors in aircraft’s state estimator
• Analyzing and improving state estimators
• Development of guides, instructions, and training materials for the flight operations team
• Support aircraft-design development work and certification of aircraft
• Develop and maintain flight controls regression test-suite

Required:

• Master’s degree in a relevant technical field, such as Aerospace, Mechanical, Robotics or Controls Engineering
• In-depth understanding of flight dynamics modeling
• Hands-on experience applying classical or modern control theory to an autonomous system
• Knowledge of state estimators (Kalman filter)
• Proficient in Matlab, Simulink, C++ and Python
• Development experience with ArduPilot or PX4
• Experience with Git
• Proficiency with Linux

Desired:

• 2+ years of professional experience with classical dynamics, modeling and simulation, and developing controls solutions in Matlab, Simulink, C++ and Python
• Experience implementing controls algorithms based on scientific publications
• Knowledge of LQR/LQG, Adaptive and Optimal/MPC control
• Creation of high-fidelity flight simulations
• Experience with Kalman filter and sensor fault detection algorithms
• Excellent written and verbal communication skills